An application of a data assimilation method based on the diffusion stochastic process theory using altimetry data in Atlantic

DOI10.1515/rnam-2016-0014zbMath1387.86041OpenAlexW2497014775MaRDI QIDQ291183

Andrey A. Kuleshov, Clemente A. S. Tanajura, Konstantin P. Belyaev

Publication date: 7 June 2016

Published in: Russian Journal of Numerical Analysis and Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/rnam-2016-0014

zbMATH Keywords

Fokker-Planck equationAtlantic Oceanensemble optimal interpolationHYCOMocean data assimilationsea level anomaly data

Mathematics Subject Classification ID

Related Items (2)

Several properties of the model solution after data assimilation into the NEMO Ocean circulation model ⋮ Parallel assimilation of observed data in the hydrodynamic model of the Ocean circulation

Uses Software

• EnKF
• HYCOM
• TOPAZ4

Cites Work

• Unnamed Item
• A sequential data assimilation method based on the properties of a diffusion-type process
• An extension of a data assimilation method based on the application of the Fokker--Planck equation
• Numerical algorithm for variational assimilation of sea surface temperature data
• A numerical technique for geophysical data assimilation problems using Pontryagin’s principle and splitting-up method
• An Invitation to the Study of Brain Networks, with Some Statistical Analysis of Thresholding Techniques
• Numerical algorithm of data assimilation based on splitting and adjoint equation methods
• An optimal data assimilation method and its application to the numerical simulation of the ocean dynamics
• A data assimilation method used with an ocean circulation model and its application to the tropical Atlantic

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